Applied AI Cohort 6 unveils syllabus: multi-agent systems, memory, reliability take center stage
arpit_bhayani · x · 2026-10-27
Arpit Bhayani announced Applied AI Cohort 6, adding topics closely tied to current engineering practice: how Claude Code works, parallel/sub/long-running agents, multi-agent task decomposition, production issues in multi-agent systems, memory write/read paths, agent reliability, and cost efficiency. He says content has been refined over five cohorts based on feedback and production learnings, aiming to take engineers from "I can call an LLM API" to "I can design and build production-grade AI systems."
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